Clean Duplicate Values

Check Outliers

Outlier Treatment

Standardise the data

View Effect of each variable on quality

Label Encoding the Target variable

Treatment of imbalance dataset

Splitting the dataset to Train and test

Decision Tree

SVM

Random Forest

KNN

Naive-Bayes Classifier

XGBoost Classifier

CATBoost Classifier

LightGBM Classifier

Adaboost

Gradient Boosting

Hyperparameter tuning

Random forest

XGBoost

LightGBM

CATBoost

Real Time Prediction

7.4 0.700 0.00 1.9 0.076 11.0 34.0 0.99780 3.51 0.56 9.4 5